Authors: Haijian Chen, Katja M. Langen, William Andrew LePain, Claire Tran, Mingyao Zhu
Affiliation: Emory Healthcare, Emory University, Georgia Institute of Technology
Abstract Preview: Purpose: To validate the performance of a commercial deep-learning segmentation (DLS) tool for head and neck cancer (HNC) and thoracic and abdominal cancer (TAC) by comparing it to manual segmentation...
Authors: Klaus Bacher, Tom Boterberg, Jeff Rutten, Barbara Vanderstraeten, Gwenny Verfaillie, Sarah Waelkens
Affiliation: Ghent University, Ghent University Hospital
Abstract Preview: Purpose: Lymphoma cancer patients frequently receive ionizing radiation during their treatment trajectory, including diagnostic CT, planning CT (pCT), recurrent CBCTs, radiotherapy (out-of-field) dose...
Authors: Klaus Bacher, Louise D'hondt, Jeff Rutten, Gwenny Verfaillie
Affiliation: Ghent University
Abstract Preview: Purpose: Manual organ segmentation is a very time-consuming but necessary process in personalized dosimetry. Automatic segmentation tools may alleviate this task. In this study the impact of automatic...